Humanities Data in R

This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social sciences.

Humanities Data in R

Humanities Data in R

​This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social sciences. Humanities Data with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis (continuous and categorical data, multivariate analysis, and advanced graphics with emphasis on aesthetics and facility). Following this, networks, geospatial data, image data, natural language processing and text analysis each have a dedicated chapter. Each chapter is grounded in examples to move readers beyond the intimidation of adding new tools to their research. Everything is hands-on: networks are explained using U.S. Supreme Court opinions, and low-level NLP methods are applied to short stories by Sir Arthur Conan Doyle. After working through these examples with the provided data, code and book website, readers are prepared to apply new methods to their own work. The open source R programming language, with its myriad packages and popularity within the sciences and social sciences, is particularly well-suited to working with humanities data. R packages are also highlighted in an appendix. This book uses an expanded conception of the forms data may take and the information it represents. The methodology will have wide application in classrooms and self-study for the humanities, but also for use in linguistics, anthropology, and political science. Outside the classroom, this intersection of humanities and computing is particularly relevant for research and new modes of dissemination across archives, museums and libraries. ​

More Books:

Humanities Data in R
Language: en
Pages: 211
Authors: Taylor Arnold, Lauren Tilton
Categories: Computers
Type: BOOK - Published: 2015-09-23 - Publisher: Springer

​This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social sciences. Humanities Data with
Exam Prep for: Humanities Data in R
Language: en
Pages:
Authors: Taylor Arnold, Lauren Tilton
Categories: Computers
Type: - Published: - Publisher:

Books about Exam Prep for: Humanities Data in R
Humanities Data Analysis
Language: en
Pages: 360
Authors: Folgert Karsdorp, Mike Kestemont, Allen Riddell
Categories: Computers
Type: BOOK - Published: 2021-01-12 - Publisher: Princeton University Press

A practical guide to data-intensive humanities research using the Python programming language The use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patterns in a vast range of source materials. Despite this growth, there are few resources addressed
Debates in the Digital Humanities 2019
Language: en
Pages: 560
Authors: Matthew K. Gold, Lauren F. Klein
Categories: Social Science
Type: BOOK - Published: 2019-04-30 - Publisher: U of Minnesota Press

The latest installment of a digital humanities bellwether Contending with recent developments like the shocking 2016 U.S. Presidential election, the radical transformation of the social web, and passionate debates about the future of data in higher education, Debates in the Digital Humanities 2019 brings together a broad array of important,
Digital Humanities and Research Methods in Religious Studies
Language: en
Pages: 360
Authors: Christopher D. Cantwell, Kristian Petersen
Categories: Art
Type: BOOK - Published: 2021-02-22 - Publisher: de Gruyter

The Digital Humanities is a well-established, fast-growing, multidisciplinary field producing computational applications and analytical models that enable new kinds of research in both the Humanities and Computer Sciences. IDH Religion is a series of short introductions addressing specific areas of study at the intersection of Digital Humanities and Religion, offering

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